Function SIG Meetings:
Function-SIG 2026 will be held on July 13-14, 2026 as part of ISMB2026 in Washington, DC USA.
Accepting 2026 abstract submissions
Important Dates:
| April 9, 2026 | abstract submission deadline (talks and posters) |
| April 13, 2026 | Late Poster Submissions Open (posters only) |
| May 5, 2026 | Talk and/or Poster Acceptance Notifications |
| May 7, 2026 | Late Poster Submissions Deadline |
| May 14, 2026 | Late Poster Acceptance Notifications |
| July 13-14, 2026 | Function SIG meeting at ISMB 2024 |
See more important dates at the ISMB 2026 site.
Cathy Wu
Bio: Coming soon
Talk Title: Coming soon
Karin Verspoor
Coming soon
Talk Title: Coming soon
Talks are sought in, but not limited to, the following topics:
- Prediction of protein function from varied data such as sequence, structure, expression data
- The evolution of function
- The design of function
- Incorporating computational function prediction into experimental workflows
- The use of text mining and natural language processing in function prediction
- The use of machine learning in protein function prediction
- The representation of biological function by ontologies and other means
- Data science as applied to protein function datasets
- Research related to the Critical Assessment of Function Annotation (CAFA)
Programs from previous years
- AFP 2020, Virtual Conference webpage
- AFP 2019, Basel, Switzerland webpage
- AFP 2018, Chigaco, IL webpage
- AFP 2017, Prague, Czech Republic webpage
- AFP 2016, Orlando, FL
- AFP 2015, Dublin, Ireland
- AFP 2014, Boston, MA
- AFP 2013, Berlin, Germany
- AFP 2012, Long Beach, CA
- AFP 2011, Vienna, Austria
- AFP 2008, Toronto, ON, Canada
- AFP 2007, Vienna, Austria
- AFP 2006, La Jolla, CA
- AFP 2005, Detroit, MI
The Function-SIG meeting is funded by the International Society for Computational Biology
In the past, the Function-SIG meetings were funded, in part, by DBI-1458359 and DBI-1458477 from the US National Science Foundation. R13 HG006079 and R13 HG007807 from the US National Institute of Health, as well as US Department of Energy grant DE-SC0006807TDD.
Currently, the CAFA challenge is funded in part, by NIH award 1R01GM145937